Optimizing items pickup for drones

The method optimizes drone performance for rapid transportation of valuables during disasters by selecting and routing drones efficiently, addressing the challenge of securing possessions during chaotic events through automated drone management.

US20260194912A1Pending Publication Date: 2026-07-09INTERNATIONAL BUSINESS MACHINE CORPORATION

Patent Information

Authority / Receiving Office
US · United States
Patent Type
Applications(United States)
Current Assignee / Owner
INTERNATIONAL BUSINESS MACHINE CORPORATION
Filing Date
2025-01-03
Publication Date
2026-07-09

AI Technical Summary

Technical Problem

The challenge of safeguarding valuables during natural disasters or conflicts, where catastrophic events cause widespread destruction and chaos, making it difficult to secure possessions due to lack of secure storage options and the need to prioritize personal safety, is addressed by optimizing drone performance for rapid, contactless pickup and delivery.

Method used

A computer-implemented method and system that selects a drone for a transportation task, determines optimal routes based on flight conditions, and navigates the drone for real-time pickup and delivery of cargos, utilizing machine learning models to identify suitable drones and routes efficiently.

Benefits of technology

Enables rapid and efficient management of drones for transporting valuable items during emergencies, enhancing safety and security by automating drone management and allocation, thereby optimizing performance and reducing the risk of loss or damage.

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Abstract

A computer-implemented method for managing drones is provided. A processor set selects a drone for completing a transportation task. The processor set receives an origin and a destination for the drone. The drone is designed to receive a number of cargos at the origin and deliver the number of cargos to the destination for completing the transportation task. The processor set determines a number of routes for the drone based on flight condition between the origin and the destination. The processor set selects a route from the number of routes for the drone based on costs associated with the number of routes. The processor set navigates the drone to complete pickup and delivery for the number of cargos according to the selected route in real-time.
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